Research engineer in bioinformatics - Hiring in process/Finished, not possible to apply

Description of the workplace
The Cardiovascular research Translational studies is studying cardiovascular disease with a focus on mechanisms underlying heart attacks and strokes. The research is translational and includes studies of human tissue and several in-vitro models. The group is located at CRC in Malmö.

We offer
Lund University is a government agency, which means that you receive special benefits, generous holidays and a favorable occupational pension. Read more on the university's website about being employed at Lund University.

Work duties and responsibilities
We are looking for a motivated research engineer with a Master’s exam for a for a unique world-class project that aims to reveal biological changes underlying heart attacks and strokes, the most common causes of death globally. The projects have high potential for future clinical applicability.

The project is based on a world-unique human tissue biobank with a large amount of s atherosclerotic plaques, where we study difference in biological processes, such as metabolic patterns, cell phenotypes, inflammation and extracellular matrix, which could cause acute complications, as well as other large human cohorts (that have imaging, RNA seq, GWAS and clinical follow up data). Studies based on the project have generated several high impact publications and includes close collaborations with other strong groups in internationally well-known environments (as Oxford, Amsterdam and Mayo Clinic USA).

You will work in direct collaboration with prof I Goncalves and assoc prof A Edsfeldt. The group consists of 15 people (including nurses, biomedical researchers, fellows, postdocs and PhD students) and is part of the Lund University Diabetes Center (LUDC) where there is a great interest in diabetes cardiovascular complications. Due to the growing amount of data and possible targets generated by the group, the candidate will be expected to independently design and perform analysis, supervise junior members, interpret data and present results in publications and international meetings.

The candidate should be knowledgeable in genomics and/or machine learning. The candidate will be responsible for developing and implementing bioinformatics pipelines and tools to advance research projects. This will involve analyzing and interpreting large-scale genomic and imaging data, identifying genetic variants, biomarkers and molecular mechanisms underlying atherosclerosis, and predicting cardiovascular events.

Qualifications

The following is required for the position:

• Master’s Degree in Bioinformatics, Computational Biology, Genomics, or a related field.
• Proven experience in analyzing transcriptomic (bulk, single-cell, spatial RNA-seq), imaging (histology, ultrasound and CT), genetic (SNP array, Exome-seq and WGS), epigenetic (Methylation array, ChIP-seq and ATAC-Seq) and high-throughput proteomic data.
• Excellent analytical & problem-solving capabilities.
• Strong programming skills in languages as Python or Java.
• Good knowledge of statistical analysis in R or SPSS.
• Experience in writing scientific manuscripts for peer-reviewed journals.
• Excellent communication/interpersonal skills, ability to work independently and collaboratively in a team environment.
• Proficiency in oral & written English 

The following are considered to be a merit:

•  Proven experience in developing/applying machine learning in medical research is a plus.
• Track record of mentoring fellow students. 

We value greatly personal attributes, favoring individuals that are flexible, social and used to collaborative international work, taking initiatives and working in well-documented way. Experience of working in an international environment is a plus.

Terms of employment

The employment is a special fixed-term full-time employment for a year and the starting date is 2023-06-01 or upon agreement. There is also the possibility that the person will be extended after this first year of work. 

Instructions for your application
Must contain:

A personal letter (max 2 pages) describing why you are interested and how you fulfill the qualifications (inc short description of earlier independent projects and technical skills), your research interests and future career plans. CV – including names and contact information of two earlier supervisors. Complete publication list (can be included in the CV). Copy of degree certificate.